Open drozdse1 opened 1 year ago
Please answer these questions before submitting your issue. Thanks!
Python 3.8.13 (default, Oct 19 2022, 22:38:03) [MSC v.1916 64 bit (AMD64)]
Windows-10-10.0.19044-SP0
pip freeze
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session.sql("SELECT CAST('2262-04-11 23:48:17' AS TIMESTAMP) AS T").to_pandas()
T 0 2262-04-12 23:48:17
2023-01-31 16:04:06,730 - MainThread cursor.py:630 - execute() - DEBUG - executing SQL/command 2023-01-31 16:04:06,731 - MainThread cursor.py:715 - execute() - INFO - query: [SELECT CAST('2262-04-11 23:47:17' AS TIMESTAMP) AS T] 2023-01-31 16:04:06,736 - MainThread connection.py:1302 - _next_sequence_counter() - DEBUG - sequence counter: 37 2023-01-31 16:04:06,737 - MainThread cursor.py:460 - _execute_helper() - DEBUG - Request id: 23301621-a3ec-4e1f-bfba-2ebafe59279e 2023-01-31 16:04:06,738 - MainThread cursor.py:462 - _execute_helper() - DEBUG - running query [SELECT CAST('2262-04-11 23:47:17' AS TIMESTAMP) AS T] 2023-01-31 16:04:06,738 - MainThread cursor.py:471 - _execute_helper() - DEBUG - is_file_transfer: False 2023-01-31 16:04:06,739 - MainThread connection.py:972 - cmd_query() - DEBUG - _cmd_query 2023-01-31 16:04:06,739 - MainThread connection.py:995 - cmd_query() - DEBUG - sql=[SELECT CAST('2262-04-11 23:47:17' AS TIMESTAMP) AS T], sequence_id=[37], is_file_transfer=[False] 2023-01-31 16:04:06,740 - MainThread network.py:1147 - _use_requests_session() - DEBUG - Session status for SessionPool 'xxx.east-us-2.azure.snowflakecomputing.com', SessionPool 1/1 active sessions 2023-01-31 16:04:06,741 - MainThread network.py:827 - _request_exec_wrapper() - DEBUG - remaining request timeout: None, retry cnt: 1 2023-01-31 16:04:06,741 - MainThread network.py:808 - add_request_guid() - DEBUG - Request guid: a1b16f5f-29a0-42fc-a1df-08c7cca41cf2 2023-01-31 16:04:06,744 - MainThread network.py:1006 - _request_exec() - DEBUG - socket timeout: 60 2023-01-31 16:04:06,936 - MainThread connectionpool.py:456 - _make_request() - DEBUG - [https://xxx.east-us-2.azure.snowflakecomputing.com:443](https://xxx.east-us-2.azure.snowflakecomputing.com/) "POST /queries/v1/query-request?requestId=23301621-a3ec-4e1f-bfba-2ebafe59279e&request_guid=a1b16f5f-29a0-42fc-a1df-08c7cca41cf2 HTTP/1.1" 200 None 2023-01-31 16:04:06,947 - MainThread network.py:1032 - _request_exec() - DEBUG - SUCCESS 2023-01-31 16:04:06,950 - MainThread network.py:1152 - _use_requests_session() - DEBUG - Session status for SessionPool 'xxx.east-us-2.azure.snowflakecomputing.com', SessionPool 0/1 active sessions 2023-01-31 16:04:06,950 - MainThread network.py:715 - _post_request() - DEBUG - ret[code] = None, after post request 2023-01-31 16:04:06,951 - MainThread network.py:739 - _post_request() - DEBUG - Query id: 01aa0508-0b04-225a-0000-a2f90ee8254a 2023-01-31 16:04:06,952 - MainThread cursor.py:737 - execute() - DEBUG - sfqid: 01aa0508-0b04-225a-0000-a2f90ee8254a 2023-01-31 16:04:06,952 - MainThread cursor.py:739 - execute() - INFO - query execution done 2023-01-31 16:04:06,953 - MainThread cursor.py:741 - execute() - DEBUG - SUCCESS 2023-01-31 16:04:06,953 - MainThread cursor.py:744 - execute() - DEBUG - PUT OR GET: None 2023-01-31 16:04:06,954 - MainThread cursor.py:841 - _init_result_and_meta() - DEBUG - Query result format: arrow 2023-01-31 16:04:06,954 - MainThread server_connection.py:321 - run_query() - DEBUG - Execute query [queryID: 01aa0508-0b04-225a-0000-a2f90ee8254a] SELECT CAST('2262-04-11 23:47:17' AS TIMESTAMP) AS T 2023-01-31 16:04:06,955 - MainThread arrow_iterator.cp38-win_amd64.pyd:0 - __cinit__() - DEBUG - Batches read: 1 2023-01-31 16:04:06,955 - MainThread CArrowIterator.cpp:16 - CArrowIterator() - DEBUG - Arrow BatchSize: 1 --------------------------------------------------------------------------- ArrowInvalid Traceback (most recent call last) File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\snowpark\_internal\server_connection.py:371, in ServerConnection._to_data_or_iter(self, results_cursor, to_pandas, to_iter) 361 try: 362 data_or_iter = ( 363 map( 364 functools.partial( 365 _fix_pandas_df_integer, results_cursor=results_cursor 366 ), 367 results_cursor.fetch_pandas_batches(), 368 ) 369 if to_iter 370 else _fix_pandas_df_integer( --> 371 results_cursor.fetch_pandas_all(), results_cursor 372 ) 373 ) 374 except NotSupportedError: File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\connector\cursor.py:990, in SnowflakeCursor.fetch_pandas_all(self, **kwargs) 987 self._log_telemetry_job_data( 988 TelemetryField.PANDAS_FETCH_ALL, TelemetryData.TRUE 989 ) --> 990 return self._result_set._fetch_pandas_all(**kwargs) File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\connector\result_set.py:185, in ResultSet._fetch_pandas_all(self, **kwargs) 184 """Fetches a single Pandas dataframe.""" --> 185 dataframes = list(self._fetch_pandas_batches()) 186 if dataframes: File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\connector\result_set.py:181, in ResultSet._fetch_pandas_batches(self, **kwargs) 180 self._can_create_arrow_iter() --> 181 return self._create_iter(iter_unit=IterUnit.TABLE_UNIT, structure="pandas") File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\connector\result_set.py:223, in ResultSet._create_iter(self, **kwargs) 221 kwargs["connection"] = self._cursor.connection --> 223 first_batch_iter = self.batches[0].create_iter(**kwargs) 225 # Iterator[Tuple] Futures that have not been consumed by the user File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\connector\result_batch.py:696, in ArrowResultBatch.create_iter(self, connection, **kwargs) 695 if structure == "pandas": --> 696 return self._get_pandas_iter(connection=connection, **kwargs) 697 else: File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\connector\result_batch.py:678, in ArrowResultBatch._get_pandas_iter(self, connection, **kwargs) 677 iterator_data = [] --> 678 dataframe = self.to_pandas(connection=connection, **kwargs) 679 if not dataframe.empty: File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\connector\result_batch.py:671, in ArrowResultBatch.to_pandas(self, connection, **kwargs) 670 table = self.to_arrow(connection=connection) --> 671 return table.to_pandas(**kwargs) File ~\Anaconda3\envs\py38_env\lib\site-packages\pyarrow\array.pxi:822, in pyarrow.lib._PandasConvertible.to_pandas() File ~\Anaconda3\envs\py38_env\lib\site-packages\pyarrow\table.pxi:3889, in pyarrow.lib.Table._to_pandas() File ~\Anaconda3\envs\py38_env\lib\site-packages\pyarrow\pandas_compat.py:803, in table_to_blockmanager(options, table, categories, ignore_metadata, types_mapper) 802 columns = _deserialize_column_index(table, all_columns, column_indexes) --> 803 blocks = _table_to_blocks(options, table, categories, ext_columns_dtypes) 805 axes = [columns, index] File ~\Anaconda3\envs\py38_env\lib\site-packages\pyarrow\pandas_compat.py:1153, in _table_to_blocks(options, block_table, categories, extension_columns) 1152 columns = block_table.column_names -> 1153 result = pa.lib.table_to_blocks(options, block_table, categories, 1154 list(extension_columns.keys())) 1155 return [_reconstruct_block(item, columns, extension_columns) 1156 for item in result] File ~\Anaconda3\envs\py38_env\lib\site-packages\pyarrow\table.pxi:2602, in pyarrow.lib.table_to_blocks() File ~\Anaconda3\envs\py38_env\lib\site-packages\pyarrow\error.pxi:100, in pyarrow.lib.check_status() ArrowInvalid: Casting from timestamp[us] to timestamp[ns] would result in out of bounds timestamp: 9223372037000000 During handling of the above exception, another exception occurred: SnowparkFetchDataException Traceback (most recent call last) Cell In [42], line 1 ----> 1 session.sql("SELECT CAST('2262-04-11 23:47:17' AS TIMESTAMP) AS T").to_pandas() File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\snowpark\_internal\telemetry.py:138, in df_collect_api_telemetry.<locals>.wrap(*args, **kwargs) 135 @functools.wraps(func) 136 def wrap(*args, **kwargs): 137 with args[0]._session.query_history() as query_history: --> 138 result = func(*args, **kwargs) 139 plan = args[0]._select_statement or args[0]._plan 140 api_calls = [ 141 *plan.api_calls, 142 {TelemetryField.NAME.value: f"DataFrame.{func.__name__}"}, 143 ] File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\snowpark\dataframe.py:707, in DataFrame.to_pandas(self, statement_params, block, **kwargs) 681 @df_collect_api_telemetry 682 def to_pandas( 683 self, (...) 687 **kwargs: Dict[str, Any], 688 ) -> Union["pandas.DataFrame", AsyncJob]: 689 """ 690 Executes the query representing this DataFrame and returns the result as a 691 `Pandas DataFrame <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html>`_. (...) 705 :func:`Session.sql` can only be a SELECT statement. 706 """ --> 707 result = self._session._conn.execute( 708 self._plan, 709 to_pandas=True, 710 block=block, 711 data_type=_AsyncResultType.PANDAS, 712 _statement_params=create_or_update_statement_params_with_query_tag( 713 statement_params, self._session.query_tag, SKIP_LEVELS_TWO 714 ), 715 **kwargs, 716 ) 718 # if the returned result is not a pandas dataframe, raise Exception 719 # this might happen when calling this method with non-select commands 720 # e.g., session.sql("create ...").to_pandas() 721 if block: File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\snowpark\_internal\server_connection.py:406, in ServerConnection.execute(self, plan, to_pandas, to_iter, block, data_type, **kwargs) 402 if is_in_stored_procedure() and not block: # pragma: no cover 403 raise NotImplementedError( 404 "Async query is not supported in stored procedure yet" 405 ) --> 406 result_set, result_meta = self.get_result_set( 407 plan, to_pandas, to_iter, **kwargs, block=block, data_type=data_type 408 ) 409 if not block: 410 return result_set File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\snowpark\_internal\analyzer\snowflake_plan.py:87, in SnowflakePlan.Decorator.wrap_exception.<locals>.wrap(*args, **kwargs) 85 def wrap(*args, **kwargs): 86 try: ---> 87 return func(*args, **kwargs) 88 except snowflake.connector.errors.ProgrammingError as e: 89 tb = sys.exc_info()[2] File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\snowpark\_internal\server_connection.py:494, in ServerConnection.get_result_set(self, plan, to_pandas, to_iter, block, data_type, **kwargs) 492 for holder, id_ in placeholders.items(): 493 final_query = final_query.replace(holder, id_) --> 494 result = self.run_query( 495 final_query, 496 to_pandas, 497 to_iter and (i == len(plan.queries) - 1), 498 is_ddl_on_temp_object=query.is_ddl_on_temp_object, 499 block=not is_last, 500 data_type=data_type, 501 async_job_plan=plan, 502 **kwargs, 503 ) 504 placeholders[query.query_id_place_holder] = ( 505 result["sfqid"] if not is_last else result.query_id 506 ) 507 result_meta = self._cursor.description File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\snowpark\_internal\server_connection.py:104, in ServerConnection._Decorator.wrap_exception.<locals>.wrap(*args, **kwargs) 100 raise SnowparkClientExceptionMessages.SERVER_SESSION_EXPIRED( 101 ex.cause 102 ) 103 except Exception as ex: --> 104 raise ex File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\snowpark\_internal\server_connection.py:98, in ServerConnection._Decorator.wrap_exception.<locals>.wrap(*args, **kwargs) 96 raise SnowparkClientExceptionMessages.SERVER_SESSION_HAS_BEEN_CLOSED() 97 try: ---> 98 return func(*args, **kwargs) 99 except ReauthenticationRequest as ex: 100 raise SnowparkClientExceptionMessages.SERVER_SESSION_EXPIRED( 101 ex.cause 102 ) File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\snowpark\_internal\server_connection.py:341, in ServerConnection.run_query(self, query, to_pandas, to_iter, is_ddl_on_temp_object, block, data_type, async_job_plan, **kwargs) 335 # fetch_pandas_all/batches() only works for SELECT statements 336 # We call fetchall() if fetch_pandas_all/batches() fails, 337 # because when the query plan has multiple queries, it will 338 # have non-select statements, and it shouldn't fail if the user 339 # calls to_pandas() to execute the query. 340 if block: --> 341 return self._to_data_or_iter( 342 results_cursor=results_cursor, to_pandas=to_pandas, to_iter=to_iter 343 ) 344 else: 345 return AsyncJob( 346 results_cursor["queryId"], 347 query, (...) 351 **kwargs, 352 ) File ~\Anaconda3\envs\py38_env\lib\site-packages\snowflake\snowpark\_internal\server_connection.py:381, in ServerConnection._to_data_or_iter(self, results_cursor, to_pandas, to_iter) 379 raise 380 except BaseException as ex: --> 381 raise SnowparkClientExceptionMessages.SERVER_FAILED_FETCH_PANDAS( 382 str(ex) 383 ) 384 else: 385 data_or_iter = ( 386 iter(results_cursor) if to_iter else results_cursor.fetchall() 387 ) SnowparkFetchDataException: (1406): Failed to fetch a Pandas Dataframe. The error is: Casting from timestamp[us] to timestamp[ns] would result in out of bounds timestamp: 9223372037000000
This is caused by https://github.com/snowflakedb/snowflake-connector-python/issues/1378 and we will be working on it in next few weeks
Please answer these questions before submitting your issue. Thanks!
Python 3.8.13 (default, Oct 19 2022, 22:38:03) [MSC v.1916 64 bit (AMD64)]
Windows-10-10.0.19044-SP0
pip freeze
)?session.sql("SELECT CAST('2262-04-11 23:48:17' AS TIMESTAMP) AS T").to_pandas()